Pejman Tahmasebi

According to our database, Pejman Tahmasebi authored at least 14 papers between 2012 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2026

Detail-rich pore-scale reconstruction with conditional latent diffusion.

Pejman Tahmasebi

Appl. Soft Comput., 2026

2022

A comparative machine learning study for time series oil production forecasting: ARIMA, LSTM, and Prophet.

Yanrui Ning, Hossein Kazemi, Pejman Tahmasebi

Comput. Geosci., 2022

Improving remote sensing classification: A deep-learning-assisted model.

Tsimur Davydzenka, Pejman Tahmasebi, Mark Carroll

Comput. Geosci., 2022

2021

Debris flow prediction with machine learning: smart management of urban systems and infrastructures.

Tao Bai, Zhihao Jiang, Pejman Tahmasebi

Neural Comput. Appl., 2021

Accelerating geostatistical modeling using geostatistics-informed machine Learning.

Tao Bai, Pejman Tahmasebi

Comput. Geosci., 2021

2020

Elastocapillarity modeling of multiphase flow-induced solid deformation using volume of fluid method.

Samuel Fagbemi, Pejman Tahmasebi, Mohammad Piri

J. Comput. Phys., 2020

Hybrid geological modeling: Combining machine learning and multiple-point statistics.

Tao Bai, Pejman Tahmasebi

Comput. Geosci., 2020

2019

Image-based velocity estimation of rock using Convolutional Neural Networks.

Sadegh Karimpouli, Pejman Tahmasebi

Neural Networks, 2019

Enhancing images of shale formations by a hybrid stochastic and deep learning algorithm.

Serveh Kamrava, Pejman Tahmasebi, Muhammad Sahimi

Neural Networks, 2019

Segmentation of digital rock images using deep convolutional autoencoder networks.

Sadegh Karimpouli, Pejman Tahmasebi

Comput. Geosci., 2019

2017

Data mining and machine learning for identifying sweet spots in shale reservoirs.

Pejman Tahmasebi, Farzam Javadpour, Muhammad Sahimi

Expert Syst. Appl., 2017

2014

MS-CCSIM: Accelerating pattern-based geostatistical simulation of categorical variables using a multi-scale search in Fourier space.

Pejman Tahmasebi, Muhammad Sahimi, Jef Caers

Comput. Geosci., 2014

2012

Accelerating geostatistical simulations using graphics processing units (GPU).

Pejman Tahmasebi, Muhammad Sahimi, Grégoire Mariéthoz, Ardeshir Hezarkhani

Comput. Geosci., 2012

A hybrid neural networks-fuzzy logic-genetic algorithm for grade estimation.

Pejman Tahmasebi, Ardeshir Hezarkhani

Comput. Geosci., 2012